{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# Multiclass Support Vector Machine exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "In this exercise you will:\n",
    "    \n",
    "- implement a fully-vectorized **loss function** for the SVM\n",
    "- implement the fully-vectorized expression for its **analytic gradient**\n",
    "- **check your implementation** using numerical gradient\n",
    "- use a validation set to **tune the learning rate and regularization** strength\n",
    "- **optimize** the loss function with **SGD**\n",
    "- **visualize** the final learned weights\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the\n",
    "# notebook rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "source": [
    "## CIFAR-10 Data Loading and Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train data shape:  (49000, 32, 32, 3)\n",
      "Train labels shape:  (49000,)\n",
      "Validation data shape:  (1000, 32, 32, 3)\n",
      "Validation labels shape:  (1000,)\n",
      "Test data shape:  (1000, 32, 32, 3)\n",
      "Test labels shape:  (1000,)\n"
     ]
    }
   ],
   "source": [
    "# Split the data into train, val, and test sets. In addition we will\n",
    "# create a small development set as a subset of the training data;\n",
    "# we can use this for development so our code runs faster.\n",
    "num_training = 49000\n",
    "num_validation = 1000\n",
    "num_test = 1000\n",
    "num_dev = 500\n",
    "\n",
    "# Our validation set will be num_validation points from the original\n",
    "# training set.\n",
    "mask = range(num_training, num_training + num_validation)\n",
    "X_val = X_train[mask]\n",
    "y_val = y_train[mask]\n",
    "\n",
    "# Our training set will be the first num_train points from the original\n",
    "# training set.\n",
    "mask = range(num_training)\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "# We will also make a development set, which is a small subset of\n",
    "# the training set.\n",
    "mask = np.random.choice(num_training, num_dev, replace=False)\n",
    "X_dev = X_train[mask]\n",
    "y_dev = y_train[mask]\n",
    "\n",
    "# We use the first num_test points of the original test set as our\n",
    "# test set.\n",
    "mask = range(num_test)\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "print('Train data shape: ', X_train.shape)\n",
    "print('Train labels shape: ', y_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Validation labels shape: ', y_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (49000, 3072)\n",
      "Validation data shape:  (1000, 3072)\n",
      "Test data shape:  (1000, 3072)\n",
      "dev data shape:  (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_val = np.reshape(X_val, (X_val.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "X_dev = np.reshape(X_dev, (X_dev.shape[0], -1))\n",
    "\n",
    "# As a sanity check, print out the shapes of the data\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Validation data shape: ', X_val.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('dev data shape: ', X_dev.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[130.64189796 135.98173469 132.47391837 130.05569388 135.34804082\n",
      " 131.75402041 130.96055102 136.14328571 132.47636735 131.48467347]\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 288x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(49000, 3073) (1000, 3073) (1000, 3073) (500, 3073)\n"
     ]
    }
   ],
   "source": [
    "# Preprocessing: subtract the mean image\n",
    "# first: compute the image mean based on the training data\n",
    "mean_image = np.mean(X_train, axis=0)\n",
    "print(mean_image[:10]) # print a few of the elements\n",
    "plt.figure(figsize=(4,4))\n",
    "plt.imshow(mean_image.reshape((32,32,3)).astype('uint8')) # visualize the mean image\n",
    "plt.show()\n",
    "\n",
    "# second: subtract the mean image from train and test data\n",
    "X_train -= mean_image\n",
    "X_val -= mean_image\n",
    "X_test -= mean_image\n",
    "X_dev -= mean_image\n",
    "\n",
    "# third: append the bias dimension of ones (i.e. bias trick) so that our SVM\n",
    "# only has to worry about optimizing a single weight matrix W.\n",
    "X_train = np.hstack([X_train, np.ones((X_train.shape[0], 1))])\n",
    "X_val = np.hstack([X_val, np.ones((X_val.shape[0], 1))])\n",
    "X_test = np.hstack([X_test, np.ones((X_test.shape[0], 1))])\n",
    "X_dev = np.hstack([X_dev, np.ones((X_dev.shape[0], 1))])\n",
    "\n",
    "print(X_train.shape, X_val.shape, X_test.shape, X_dev.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SVM Classifier\n",
    "\n",
    "Your code for this section will all be written inside `cs231n/classifiers/linear_svm.py`. \n",
    "\n",
    "As you can see, we have prefilled the function `svm_loss_naive` which uses for loops to evaluate the multiclass SVM loss function. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "loss: 9.144615\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the naive implementation of the loss we provided for you:\n",
    "from cs231n.classifiers.linear_svm import svm_loss_naive\n",
    "import time\n",
    "\n",
    "# generate a random SVM weight matrix of small numbers\n",
    "W = np.random.randn(3073, 10) * 0.0001 \n",
    "\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "print('loss: %f' % (loss, ))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `grad` returned from the function above is right now all zero. Derive and implement the gradient for the SVM cost function and implement it inline inside the function `svm_loss_naive`. You will find it helpful to interleave your new code inside the existing function.\n",
    "\n",
    "To check that you have correctly implemented the gradient correctly, you can numerically estimate the gradient of the loss function and compare the numeric estimate to the gradient that you computed. We have provided code that does this for you:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "numerical: 26.219712 analytic: 26.219712, relative error: 3.981265e-12\n",
      "numerical: 7.275152 analytic: 7.275152, relative error: 1.984839e-11\n",
      "numerical: 10.085893 analytic: 10.085893, relative error: 7.361409e-12\n",
      "numerical: -1.779783 analytic: -1.779783, relative error: 4.579718e-11\n",
      "numerical: -0.074953 analytic: -0.074953, relative error: 9.505228e-10\n",
      "numerical: -11.933488 analytic: -11.933488, relative error: 5.263803e-12\n",
      "numerical: -6.053385 analytic: -6.053385, relative error: 2.449172e-11\n",
      "numerical: -12.678138 analytic: -12.771248, relative error: 3.658625e-03\n",
      "numerical: -14.285367 analytic: -14.285367, relative error: 8.232086e-12\n",
      "numerical: 6.103073 analytic: 6.103073, relative error: 5.870355e-11\n",
      "check once again with regularization turned on\n",
      "numerical: 11.566445 analytic: 11.566445, relative error: 1.505545e-11\n",
      "numerical: 2.909655 analytic: 2.909655, relative error: 8.030344e-11\n",
      "numerical: 0.791594 analytic: 0.893146, relative error: 6.027757e-02\n",
      "numerical: -3.295204 analytic: -3.295204, relative error: 1.540780e-11\n",
      "numerical: -24.870203 analytic: -24.985537, relative error: 2.313364e-03\n",
      "numerical: -25.984960 analytic: -26.055174, relative error: 1.349239e-03\n",
      "numerical: 25.608046 analytic: 25.608046, relative error: 7.305053e-12\n",
      "numerical: -30.490319 analytic: -30.490319, relative error: 7.259042e-12\n",
      "numerical: -25.829819 analytic: -25.829819, relative error: 2.099272e-11\n",
      "numerical: 0.684818 analytic: 0.684818, relative error: 5.736579e-11\n"
     ]
    }
   ],
   "source": [
    "# Once you've implemented the gradient, recompute it with the code below\n",
    "# and gradient check it with the function we provided for you\n",
    "\n",
    "# Compute the loss and its gradient at W.\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 0.0)\n",
    "\n",
    "# Numerically compute the gradient along several randomly chosen dimensions, and\n",
    "# compare them with your analytically computed gradient. The numbers should match\n",
    "# almost exactly along all dimensions.\n",
    "from cs231n.gradient_check import grad_check_sparse\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 0.0)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)\n",
    "print(\"check once again with regularization turned on\")\n",
    "# do the gradient check once again with regularization turned on\n",
    "# you didn't forget the regularization gradient did you?\n",
    "loss, grad = svm_loss_naive(W, X_dev, y_dev, 5e1)\n",
    "f = lambda w: svm_loss_naive(w, X_dev, y_dev, 5e1)[0]\n",
    "grad_numerical = grad_check_sparse(f, W, grad)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1**\n",
    "\n",
    "It is possible that once in a while a dimension in the gradcheck will not match exactly. What could such a discrepancy be caused by? Is it a reason for concern? What is a simple example in one dimension where a gradient check could fail? How would change the margin affect of the frequency of this happening? *Hint: the SVM loss function is not strictly speaking differentiable*\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ \n",
    "\n",
    "*Example: `numerical: 0.650642 analytic: 0.715412, relative error: 4.741368e-02`.*\n",
    "\n",
    "According to the hint, the SVM loss function is not strictly speaking differentiable. \n",
    "\n",
    "So for the point where is not differentiable (ie. `max(x, -)`), it will cause a discrepency.\n",
    "\n",
    "Surely we should concernabout that! The larger the margin, the lower the frequency.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "vectorized_time_1",
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive loss: 9.144615e+00 computed in 0.140929s\n",
      "Vectorized loss: 9.144615e+00 computed in 0.009947s\n",
      "difference: -0.000000\n"
     ]
    }
   ],
   "source": [
    "# Next implement the function svm_loss_vectorized; for now only compute the loss;\n",
    "# we will implement the gradient in a moment.\n",
    "tic = time.time()\n",
    "loss_naive, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss: %e computed in %fs' % (loss_naive, toc - tic))\n",
    "\n",
    "from cs231n.classifiers.linear_svm import svm_loss_vectorized\n",
    "tic = time.time()\n",
    "loss_vectorized, _ = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss: %e computed in %fs' % (loss_vectorized, toc - tic))\n",
    "\n",
    "# The losses should match but your vectorized implementation should be much faster.\n",
    "print('difference: %f' % (loss_naive - loss_vectorized))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "vectorized_time_2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Naive loss and gradient: computed in 0.142415s\n",
      "Vectorized loss and gradient: computed in 0.007935s\n",
      "naive gradient: \t-4.6095398363402325, type: float64\n",
      "vectorized gradient: \t-4.609539836340164, type: float64\n",
      "difference: 0.000000\n"
     ]
    }
   ],
   "source": [
    "# Complete the implementation of svm_loss_vectorized, and compute the gradient\n",
    "# of the loss function in a vectorized way.\n",
    "\n",
    "# The naive implementation and the vectorized implementation should match, but\n",
    "# the vectorized version should still be much faster.\n",
    "tic = time.time()\n",
    "_, grad_naive = svm_loss_naive(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Naive loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "tic = time.time()\n",
    "_, grad_vectorized = svm_loss_vectorized(W, X_dev, y_dev, 0.000005)\n",
    "toc = time.time()\n",
    "print('Vectorized loss and gradient: computed in %fs' % (toc - tic))\n",
    "\n",
    "print(f'naive gradient: \\t{grad_naive[0,0]}, type: {grad_naive.dtype}')\n",
    "print(f'vectorized gradient: \\t{grad_vectorized[0,0]}, type: {grad_vectorized.dtype}')\n",
    "# The loss is a single number, so it is easy to compare the values computed\n",
    "# by the two implementations. The gradient on the other hand is a matrix, so\n",
    "# we use the Frobenius norm to compare them.\n",
    "difference = np.linalg.norm(grad_naive - grad_vectorized, ord='fro')\n",
    "print('difference: %f' % difference)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Stochastic Gradient Descent\n",
    "\n",
    "We now have vectorized and efficient expressions for the loss, the gradient and our gradient matches the numerical gradient. We are therefore ready to do SGD to minimize the loss. Your code for this part will be written inside `cs231n/classifiers/linear_classifier.py`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "id": "sgd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "iteration 0 / 1500: loss 786.607254\n",
      "iteration 100 / 1500: loss 286.050667\n",
      "iteration 200 / 1500: loss 108.437843\n",
      "iteration 300 / 1500: loss 42.829438\n",
      "iteration 400 / 1500: loss 19.088681\n",
      "iteration 500 / 1500: loss 10.383636\n",
      "iteration 600 / 1500: loss 7.035976\n",
      "iteration 700 / 1500: loss 6.270782\n",
      "iteration 800 / 1500: loss 5.040567\n",
      "iteration 900 / 1500: loss 4.823499\n",
      "iteration 1000 / 1500: loss 5.459333\n",
      "iteration 1100 / 1500: loss 5.412256\n",
      "iteration 1200 / 1500: loss 4.913505\n",
      "iteration 1300 / 1500: loss 5.742601\n",
      "iteration 1400 / 1500: loss 5.458448\n",
      "That took 6.158315s\n"
     ]
    }
   ],
   "source": [
    "# In the file linear_classifier.py, implement SGD in the function\n",
    "# LinearClassifier.train() and then run it with the code below.\n",
    "from cs231n.classifiers import LinearSVM\n",
    "svm = LinearSVM()\n",
    "tic = time.time()\n",
    "loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=2.5e4,\n",
    "                      num_iters=1500, verbose=True)\n",
    "toc = time.time()\n",
    "print('That took %fs' % (toc - tic))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# A useful debugging strategy is to plot the loss as a function of\n",
    "# iteration number:\n",
    "plt.plot(loss_hist)\n",
    "plt.xlabel('Iteration number')\n",
    "plt.ylabel('Loss value')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "validate"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training accuracy: 0.365878\n",
      "validation accuracy: 0.383000\n"
     ]
    }
   ],
   "source": [
    "# Write the LinearSVM.predict function and evaluate the performance on both the\n",
    "# training and validation set\n",
    "y_train_pred = svm.predict(X_train)\n",
    "print('training accuracy: %f' % (np.mean(y_train == y_train_pred), ))\n",
    "y_val_pred = svm.predict(X_val)\n",
    "print('validation accuracy: %f' % (np.mean(y_val == y_val_pred), ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "tuning",
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lr 1.000000e-07 reg 2.500000e+04 train accuracy: 0.367449 val accuracy: 0.356000\n",
      "lr 1.000000e-07 reg 5.000000e+04 train accuracy: 0.367653 val accuracy: 0.383000\n",
      "lr 5.000000e-05 reg 2.500000e+04 train accuracy: 0.374633 val accuracy: 0.380000\n",
      "lr 5.000000e-05 reg 5.000000e+04 train accuracy: 0.366796 val accuracy: 0.376000\n",
      "best validation accuracy achieved during cross-validation: 0.383000\n"
     ]
    }
   ],
   "source": [
    "# Use the validation set to tune hyperparameters (regularization strength and\n",
    "# learning rate). You should experiment with different ranges for the learning\n",
    "# rates and regularization strengths; if you are careful you should be able to\n",
    "# get a classification accuracy of about 0.39 on the validation set.\n",
    "\n",
    "# Note: you may see runtime/overflow warnings during hyper-parameter search. \n",
    "# This may be caused by extreme values, and is not a bug.\n",
    "\n",
    "# results is dictionary mapping tuples of the form\n",
    "# (learning_rate, regularization_strength) to tuples of the form\n",
    "# (training_accuracy, validation_accuracy). The accuracy is simply the fraction\n",
    "# of data points that are correctly classified.\n",
    "results = {}\n",
    "best_val = -1   # The highest validation accuracy that we have seen so far.\n",
    "best_svm = None # The LinearSVM object that achieved the highest validation rate.\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Write code that chooses the best hyperparameters by tuning on the validation #\n",
    "# set. For each combination of hyperparameters, train a linear SVM on the      #\n",
    "# training set, compute its accuracy on the training and validation sets, and  #\n",
    "# store these numbers in the results dictionary. In addition, store the best   #\n",
    "# validation accuracy in best_val and the LinearSVM object that achieves this  #\n",
    "# accuracy in best_svm.                                                        #\n",
    "#                                                                              #\n",
    "# Hint: You should use a small value for num_iters as you develop your         #\n",
    "# validation code so that the SVMs don't take much time to train; once you are #\n",
    "# confident that your validation code works, you should rerun the validation   #\n",
    "# code with a larger value for num_iters.                                      #\n",
    "################################################################################\n",
    "\n",
    "# Provided as a reference. You may or may not want to change these hyperparameters\n",
    "learning_rates = [1e-7, 5e-5]\n",
    "regularization_strengths = [2.5e4, 5e4]\n",
    "\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# results = np.empty((len(learning_rates), len(regularization_strengths),2))\n",
    "\n",
    "def tryParams(lr, reg, best_val, best_svm):\n",
    "    svm = LinearSVM()\n",
    "#     print(f\"lr = {lr}, reg = {reg}:\")\n",
    "    loss_hist = svm.train(X_train, y_train, learning_rate=1e-7, reg=2.5e4,\n",
    "                          num_iters=5000, verbose=False)\n",
    "    y_train_pred = np.mean(y_train == svm.predict(X_train))\n",
    "    y_val_pred = np.mean(y_val == svm.predict(X_val))\n",
    "    results[(lr, reg)] = (y_train_pred,y_val_pred)\n",
    "    if y_val_pred > best_val: \n",
    "        best_val = y_val_pred\n",
    "        best_svm = svm\n",
    "    return best_val, best_svm\n",
    "    \n",
    "for lr in learning_rates:\n",
    "    for reg in regularization_strengths:\n",
    "        best_val, best_svm = tryParams(lr, reg, best_val, best_svm)\n",
    "        \n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out results.\n",
    "for lr, reg in sorted(results):\n",
    "    train_accuracy, val_accuracy = results[(lr, reg)]\n",
    "    print('lr %e reg %e train accuracy: %f val accuracy: %f' % (\n",
    "                lr, reg, train_accuracy, val_accuracy))\n",
    "    \n",
    "print('best validation accuracy achieved during cross-validation: %f' % best_val)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the cross-validation results\n",
    "import math\n",
    "import pdb\n",
    "\n",
    "# pdb.set_trace()\n",
    "\n",
    "x_scatter = [math.log10(x[0]) for x in results]\n",
    "y_scatter = [math.log10(x[1]) for x in results]\n",
    "\n",
    "# plot training accuracy\n",
    "marker_size = 100\n",
    "colors = [results[x][0] for x in results]\n",
    "plt.subplot(2, 1, 1)\n",
    "plt.tight_layout(pad=3)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 training accuracy')\n",
    "\n",
    "# plot validation accuracy\n",
    "colors = [results[x][1] for x in results] # default size of markers is 20\n",
    "plt.subplot(2, 1, 2)\n",
    "plt.scatter(x_scatter, y_scatter, marker_size, c=colors, cmap=plt.cm.coolwarm)\n",
    "plt.colorbar()\n",
    "plt.xlabel('log learning rate')\n",
    "plt.ylabel('log regularization strength')\n",
    "plt.title('CIFAR-10 validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "id": "test"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear SVM on raw pixels final test set accuracy: 0.374000\n"
     ]
    }
   ],
   "source": [
    "# Evaluate the best svm on test set\n",
    "y_test_pred = best_svm.predict(X_test)\n",
    "test_accuracy = np.mean(y_test == y_test_pred)\n",
    "print('linear SVM on raw pixels final test set accuracy: %f' % test_accuracy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 10 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize the learned weights for each class.\n",
    "# Depending on your choice of learning rate and regularization strength, these may\n",
    "# or may not be nice to look at.\n",
    "w = best_svm.W[:-1,:] # strip out the bias\n",
    "w = w.reshape(32, 32, 3, 10)\n",
    "w_min, w_max = np.min(w), np.max(w)\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "for i in range(10):\n",
    "    plt.subplot(2, 5, i + 1)\n",
    "      \n",
    "    # Rescale the weights to be between 0 and 255\n",
    "    wimg = 255.0 * (w[:, :, :, i].squeeze() - w_min) / (w_max - w_min)\n",
    "    plt.imshow(wimg.astype('uint8'))\n",
    "    plt.axis('off')\n",
    "    plt.title(classes[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline question 2**\n",
    "\n",
    "Describe what your visualized SVM weights look like, and offer a brief explanation for why they look they way that they do.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ \n",
    "\n",
    "*W is a general image og all images in its type.*\n",
    "\n",
    "eg: the car looks like cars direct to several directions.\n",
    "\n",
    "The horse looks like a horse with two head.\n"
   ]
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   "source": []
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